Evidence map›Paper›PMID 33584535›Full record

ArticleFrontiers in endocrinology2020

Correlations Between MRI Biomarkers PDFF and cT1 With Histopathological Features of Non-Alcoholic Steatohepatitis.

Andrea Dennis, Matt D Kelly, Carolina Fernandes, Sofia Mouchti, Jonathan A Fallowfield, Gideon Hirschfield, Michael Pavlides, Stephen Harrison, Manu V Chakravarthy, Rajarshi Banerjee and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
10.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 104 citations in OpenAlex.

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  17. Imaging Evaluation for Steatotic Liver Disease.Korean journal of radiology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 3 countries.

Andrea DennisPerspectum, Oxford, United Kingdom.
Matt D KellyPerspectum, Oxford, United Kingdom.
Carolina FernandesPerspectum, Oxford, United Kingdom.
Sofia MouchtiPerspectum, Oxford, United Kingdom.
Jonathan A FallowfieldCentre for Inflammation Research, University of Edinburgh, Edinburgh, United Kingdom.
Gideon HirschfieldToronto Centre for Liver Disease, University Health Network, Toronto, ON, Canada.
Michael PavlidesRadcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Stephen HarrisonRadcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Manu V ChakravarthyAxcella Health, Cambridge, MA, United States.
Rajarshi BanerjeePerspectum, Oxford, United Kingdom.
Arun SanyalDivision of Gastroenterology, Hepatology and Nutrition, Department of Internal Medicine, Virginia Commonwealth University, Richmond, VA, United States.
Axcella Health (United States) · USCentre for Inflammation Research · GBOxford BioMedica (United Kingdom) · GBUniversity Health Network · CAUniversity of Oxford · GBVirginia Commonwealth University · US

Funding

Chief Scientist Office SCD/20Department of Health
6 · The paper itself

Abstract

Introduction: Late stage clinical trials in non-alcoholic steatohepatitis (NASH) are currently required by the FDA to use liver biopsy as a primary endpoint. The well-reported limitations with biopsy, such as associated risks and sampling error, coupled with patient preference, are driving investigation into non-invasive alternatives. MRI-derived biomarkers proton density fat fraction (PDFF) and iron-corrected T1 mapping (cT1) are gaining traction as emerging alternatives to biopsy for NASH. Our aim was to explore the correlations between cT1 and PDFF (from Liver Materials and Methods: In a retrospective analysis of data combined from three previously published observational NASH studies, in which adult participants who underwent liver biopsy on suspicion of NAFLD or NASH and had an MRI scan measuring cT1 and PDFF (Liver Results: N = 264 patients with mean age of 54 (SD:9.9), 39% female, and 69% with BMI ≥ 30kg.m Conclusion: The correlations between cT1 and PDFF with the histopathological hallmarks of NASH demonstrate the potential utility of both cT1 and PDFF as non-invasive biomarkers to detect a pharmacodynamic change in NASH, with cT1 showing superiority for detecting changes in inflammation and fibrosis, rather than liver fat alone.

Indexed as

ProtonsBiomarkersCross-Sectional StudiesFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNon-alcoholic Fatty Liver DiseaseRetrospective StudiesBiomarkersProtonsimagingMRINAFLDNASHnon-invasive biomarkers

Identifiers

PMID33584535
PMCPMC7877451
OpenAlexW3127770407

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.